Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Nina Lauharatanahirun

Biographic Data

ID6617167
NAMENina Lauharatanahirun
GIVEN NAMESNina
FAMILY NAMELauharatanahirun
SIGNATURELAUHARATANAHIRUN N
AFFILIATIONSPennsylvania State University
ORCID0000-0001-8229-1099
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS1
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Nonlinear Relations Between Resting Heart Rate Measures and Health Risk Behavior in Emerging Adulthood

    Open Access•Derek P Spangler, Nina Lauharatanahirun•ARTICLE•Journal of Adolescence•2026

    INTRODUCTION: Resting heart rate (HR) measures reflect autonomic processes that could predict health risk behavior (HRB) in emerging adulthood when risky behavior is prominent. However, prior studies and extant theories are inconsistent, such that the relationships between HR measures and HRB could be positive or negative in direction. To reconcile these inconsistencies, we predicted that positive and negative relations between HR measures and HR…

  • External and Internal Attribution in Human-Agent Interaction

    Open Access•Nina Lauharatanahirun, Andrea Stevenson Won et al.•ARTICLE•Human-Machine Communication•2024

    Agents are designed in the image of humans, both internally and externally. The internal systems of agents imitate the human brain, both at the levels of hardware (i.e., neuromorphic computing) and software (i.e., neural networks). Furthermore, the external appearance and behaviors of agents are designed by people and based on human data. Sometimes, these humanlike qualities of agents are purposely selected to increase their social influence over…

  • Vero

    Open Access•Aaron Schecter, Jess Hohenstein et al.•ARTICLE•Computers in Human Behavior•2023

    Despite the recognized need to prepare for a future of human–AI collaboration, the technical skills necessary to develop and deploy AI systems are considerable, making such research difficult to perform without specialized knowledge. To make human–AI collaboration research more accessible, we developed a novel experimental method that combines a standard video conferencing platform, a set of animations, and Wizard of Oz methods to simulate a grou…

  • Social perception in Human-AI teams

    Open Access•Alexandra M Harris-Watson, Lindsay E Larson et al.•ARTICLE•Computers in Human Behavior•2023

  • Bidirectional links between adolescent brain function and substance use moderated by cognitive control

    Open Access•Jungmeen Kim‐Spoon, Toria Herd et al.•ARTICLE•Journal of Child Psychology and…•2021

    BACKGROUND: No clear consensus exists as to whether neurodevelopmental abnormalities among substance users reflect predisposing neural risk factors, neurotoxic effects of substances, or both. Using a longitudinal design, we examined developmental patterns of the bidirectional links between neural mechanisms and substance use throughout adolescence. METHOD: 167 adolescents (aged 13-14 years at Time 1, 53% male) were assessed annually four times. R…

  • Neural Interaction Between Risk Sensitivity and Cognitive Control Predicting Health Risk Behaviors Among Late Adolescents

    Open Access•Jungmeen Kim‐Spoon, Kirby Deater‐deckard et al.•ARTICLE•Journal of Research on Adolescence•2016•Cited by: 1•References: 1

    The developmental period of adolescence is characterized by increasing incidence of health risk behaviors (HRBs). Based on theoretical models that emphasize the moderating role of cognitive control, this study examined how neural correlates of cognitive control and risk sensitivity interact to predict HRBs among late adolescents (17-20 years). Neuroimaging data indicate that risk-related hemodynamic activity in the anterior insula during anticipa…

  • Neural Interaction Between Risk Sensitivity and Cognitive Control Predicting Health Risk Behaviors Among Late Adolescents

    Open Access•Jungmeen Kim‐Spoon, Kirby Deater‐deckard et al.•ARTICLE•Journal of Research on Adolescence•2016•Cited by: 1•References: 1

    The developmental period of adolescence is characterized by increasing incidence of health risk behaviors (HRBs). Based on theoretical models that emphasize the moderating role of cognitive control, this study examined how neural correlates of cognitive control and risk sensitivity interact to predict HRBs among late adolescents (17-20 years). Neuroimaging data indicate that risk-related hemodynamic activity in the anterior insula during anticipa…

  • Neural Interaction Between Risk Sensitivity and Cognitive Control Predicting Health Risk Behaviors Among Late Adolescents

    Open Access•Jungmeen Kim‐Spoon, Kirby Deater‐deckard et al.•ARTICLE•Journal of Research on Adolescence•2016•Cited by: 1•References: 1

    The developmental period of adolescence is characterized by increasing incidence of health risk behaviors (HRBs). Based on theoretical models that emphasize the moderating role of cognitive control, this study examined how neural correlates of cognitive control and risk sensitivity interact to predict HRBs among late adolescents (17-20 years). Neuroimaging data indicate that risk-related hemodynamic activity in the anterior insula during anticipa…

  • Bidirectional links between adolescent brain function and substance use moderated by cognitive control

    Open Access•Jungmeen Kim‐Spoon, Toria Herd et al.•ARTICLE•Journal of Child Psychology and…•2021

    BACKGROUND: No clear consensus exists as to whether neurodevelopmental abnormalities among substance users reflect predisposing neural risk factors, neurotoxic effects of substances, or both. Using a longitudinal design, we examined developmental patterns of the bidirectional links between neural mechanisms and substance use throughout adolescence. METHOD: 167 adolescents (aged 13-14 years at Time 1, 53% male) were assessed annually four times. R…

  • Vero

    Open Access•Aaron Schecter, Jess Hohenstein et al.•ARTICLE•Computers in Human Behavior•2023

    Despite the recognized need to prepare for a future of human–AI collaboration, the technical skills necessary to develop and deploy AI systems are considerable, making such research difficult to perform without specialized knowledge. To make human–AI collaboration research more accessible, we developed a novel experimental method that combines a standard video conferencing platform, a set of animations, and Wizard of Oz methods to simulate a grou…

  • Social perception in Human-AI teams

    Open Access•Alexandra M Harris-Watson, Lindsay E Larson et al.•ARTICLE•Computers in Human Behavior•2023

  • External and Internal Attribution in Human-Agent Interaction

    Open Access•Nina Lauharatanahirun, Andrea Stevenson Won et al.•ARTICLE•Human-Machine Communication•2024

    Agents are designed in the image of humans, both internally and externally. The internal systems of agents imitate the human brain, both at the levels of hardware (i.e., neuromorphic computing) and software (i.e., neural networks). Furthermore, the external appearance and behaviors of agents are designed by people and based on human data. Sometimes, these humanlike qualities of agents are purposely selected to increase their social influence over…

  • Nonlinear Relations Between Resting Heart Rate Measures and Health Risk Behavior in Emerging Adulthood

    Open Access•Derek P Spangler, Nina Lauharatanahirun•ARTICLE•Journal of Adolescence•2026

    INTRODUCTION: Resting heart rate (HR) measures reflect autonomic processes that could predict health risk behavior (HRB) in emerging adulthood when risky behavior is prominent. However, prior studies and extant theories are inconsistent, such that the relationships between HR measures and HRB could be positive or negative in direction. To reconcile these inconsistencies, we predicted that positive and negative relations between HR measures and HR…

Psychology (4 works) · Neuroscience (3 works) · Cognition (2 works) · Computer Science (2 works) · Developmental psychology (2 works) · Human–computer interaction (2 works) · Insula (2 works) · Neural and Behavioral Psychology Studies (2 works) · Social Psychology (2 works) · Action Observation and Synchronization (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae